Loading…
Ignoring small predictable profits and losses: a new approach for measuring incentives for cream skimming
Under inadequate capitation formulae competing health insurers have an incentive for cream skimming, i.e., the selection of enrollees whom the insurer expects to be profitable. When evaluating different capitation formulae, previous studies used various indicators of incentives for cream skimming. T...
Saved in:
Published in: | Health care management science 2000-02, Vol.3 (2), p.131-140 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 140 |
container_issue | 2 |
container_start_page | 131 |
container_title | Health care management science |
container_volume | 3 |
creator | van Barneveld, E M Lamers, L M van Vliet, R C van de Ven, W P |
description | Under inadequate capitation formulae competing health insurers have an incentive for cream skimming, i.e., the selection of enrollees whom the insurer expects to be profitable. When evaluating different capitation formulae, previous studies used various indicators of incentives for cream skimming. These conventional indicators are based on all actual profits and losses or on all predictable profits and losses. For the latter type of indicators, this paper proposes, as a new approach, to ignore the small predictable profits and losses. We assume that this new approach provides a better indication of the size of the cream skimming problem than the conventional one, because an insurer has to take into account its costs of cream skimming and the (statistical) uncertainties about the net benefits of cream skimming. Both approaches are applied in theoretical and empirical analyses. The results show that, if our assumption is right, the problem of cream skimming is overestimated by the conventional ways of measuring incentives for cream skimming, especially in the case of relatively good capitation formulae. |
format | article |
fullrecord | <record><control><sourceid>proquest_repec</sourceid><recordid>TN_cdi_proquest_miscellaneous_71059852</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>417621441</sourcerecordid><originalsourceid>FETCH-LOGICAL-p246t-4f9450e972bb535acdc3246b2019936515df19f668353786aa933041e8d4a0033</originalsourceid><addsrcrecordid>eNpdUU1LxDAULKLo-vEXJHjwVshH0ybeZPFjQfCi5_CavrrRpq1Ju-K_N7qrBw_DG5hh3vDeXrZgsuK5FkrvJy5UmeuS06PsOMZXSqmkJTvMjhitFOWKLTK3eumH4PoXEj10HRkDNs5OUHeY-NC6KRLoG9INMWK8IkB6_CAwJg3smrRDIB4hzj8RrrfYT26D8UewAcGT-Oa8T-ppdtBCF_FsN0-y59ubp-V9_vB4t1peP-QjL8opL1pdSIq64nUthQTbWJGEmlOmtSglk03LdFuWSkhRqRJAC0ELhqopgFIhTrLLbW6q-D5jnIx30WLXQY_DHE3FqNRK8mS8-Gd8HebQp26G80qroqAqmVZbU8ARrRmD8xA-zRuMawsBvdkYASLhM4GnC6fhvmnCmMAEM6ygZj35lHW-WzjXHpu_sN9viC8qvIYA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>227984408</pqid></control><display><type>article</type><title>Ignoring small predictable profits and losses: a new approach for measuring incentives for cream skimming</title><source>EconLit s plnými texty</source><source>ABI/INFORM Global (ProQuest)</source><source>Springer Nature</source><source>BSC - Ebsco (Business Source Ultimate)</source><creator>van Barneveld, E M ; Lamers, L M ; van Vliet, R C ; van de Ven, W P</creator><creatorcontrib>van Barneveld, E M ; Lamers, L M ; van Vliet, R C ; van de Ven, W P</creatorcontrib><description>Under inadequate capitation formulae competing health insurers have an incentive for cream skimming, i.e., the selection of enrollees whom the insurer expects to be profitable. When evaluating different capitation formulae, previous studies used various indicators of incentives for cream skimming. These conventional indicators are based on all actual profits and losses or on all predictable profits and losses. For the latter type of indicators, this paper proposes, as a new approach, to ignore the small predictable profits and losses. We assume that this new approach provides a better indication of the size of the cream skimming problem than the conventional one, because an insurer has to take into account its costs of cream skimming and the (statistical) uncertainties about the net benefits of cream skimming. Both approaches are applied in theoretical and empirical analyses. The results show that, if our assumption is right, the problem of cream skimming is overestimated by the conventional ways of measuring incentives for cream skimming, especially in the case of relatively good capitation formulae.</description><identifier>ISSN: 1386-9620</identifier><identifier>EISSN: 1572-9389</identifier><identifier>PMID: 10780281</identifier><language>eng</language><publisher>Netherlands: Springer</publisher><subject>Adult ; Adverse selection ; Capitation ; Capitation Fee - organization & administration ; Economic Competition - organization & administration ; Female ; Forecasting ; Group insurance ; Health care expenditures ; Health care policy ; Health insurance ; Health maintenance organizations ; HMOs ; Humans ; Incentives ; Insurance Selection Bias ; Male ; Managed Care Programs - organization & administration ; Marketing of Health Services ; Models, Econometric ; Motivation ; Reproducibility of Results ; Statistical analysis ; Studies</subject><ispartof>Health care management science, 2000-02, Vol.3 (2), p.131-140</ispartof><rights>Copyright (c) 2000 Kluwer Academic Publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/227984408/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/227984408?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,11669,36041,36042,44344,74644</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10780281$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/kaphcarem/v_3a3_3ay_3a2000_3ai_3a2_3ap_3a131-140.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>van Barneveld, E M</creatorcontrib><creatorcontrib>Lamers, L M</creatorcontrib><creatorcontrib>van Vliet, R C</creatorcontrib><creatorcontrib>van de Ven, W P</creatorcontrib><title>Ignoring small predictable profits and losses: a new approach for measuring incentives for cream skimming</title><title>Health care management science</title><addtitle>Health Care Manag Sci</addtitle><description>Under inadequate capitation formulae competing health insurers have an incentive for cream skimming, i.e., the selection of enrollees whom the insurer expects to be profitable. When evaluating different capitation formulae, previous studies used various indicators of incentives for cream skimming. These conventional indicators are based on all actual profits and losses or on all predictable profits and losses. For the latter type of indicators, this paper proposes, as a new approach, to ignore the small predictable profits and losses. We assume that this new approach provides a better indication of the size of the cream skimming problem than the conventional one, because an insurer has to take into account its costs of cream skimming and the (statistical) uncertainties about the net benefits of cream skimming. Both approaches are applied in theoretical and empirical analyses. The results show that, if our assumption is right, the problem of cream skimming is overestimated by the conventional ways of measuring incentives for cream skimming, especially in the case of relatively good capitation formulae.</description><subject>Adult</subject><subject>Adverse selection</subject><subject>Capitation</subject><subject>Capitation Fee - organization & administration</subject><subject>Economic Competition - organization & administration</subject><subject>Female</subject><subject>Forecasting</subject><subject>Group insurance</subject><subject>Health care expenditures</subject><subject>Health care policy</subject><subject>Health insurance</subject><subject>Health maintenance organizations</subject><subject>HMOs</subject><subject>Humans</subject><subject>Incentives</subject><subject>Insurance Selection Bias</subject><subject>Male</subject><subject>Managed Care Programs - organization & administration</subject><subject>Marketing of Health Services</subject><subject>Models, Econometric</subject><subject>Motivation</subject><subject>Reproducibility of Results</subject><subject>Statistical analysis</subject><subject>Studies</subject><issn>1386-9620</issn><issn>1572-9389</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNpdUU1LxDAULKLo-vEXJHjwVshH0ybeZPFjQfCi5_CavrrRpq1Ju-K_N7qrBw_DG5hh3vDeXrZgsuK5FkrvJy5UmeuS06PsOMZXSqmkJTvMjhitFOWKLTK3eumH4PoXEj10HRkDNs5OUHeY-NC6KRLoG9INMWK8IkB6_CAwJg3smrRDIB4hzj8RrrfYT26D8UewAcGT-Oa8T-ppdtBCF_FsN0-y59ubp-V9_vB4t1peP-QjL8opL1pdSIq64nUthQTbWJGEmlOmtSglk03LdFuWSkhRqRJAC0ELhqopgFIhTrLLbW6q-D5jnIx30WLXQY_DHE3FqNRK8mS8-Gd8HebQp26G80qroqAqmVZbU8ARrRmD8xA-zRuMawsBvdkYASLhM4GnC6fhvmnCmMAEM6ygZj35lHW-WzjXHpu_sN9viC8qvIYA</recordid><startdate>200002</startdate><enddate>200002</enddate><creator>van Barneveld, E M</creator><creator>Lamers, L M</creator><creator>van Vliet, R C</creator><creator>van de Ven, W P</creator><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>DKI</scope><scope>X2L</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>200002</creationdate><title>Ignoring small predictable profits and losses: a new approach for measuring incentives for cream skimming</title><author>van Barneveld, E M ; Lamers, L M ; van Vliet, R C ; van de Ven, W P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p246t-4f9450e972bb535acdc3246b2019936515df19f668353786aa933041e8d4a0033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Adult</topic><topic>Adverse selection</topic><topic>Capitation</topic><topic>Capitation Fee - organization & administration</topic><topic>Economic Competition - organization & administration</topic><topic>Female</topic><topic>Forecasting</topic><topic>Group insurance</topic><topic>Health care expenditures</topic><topic>Health care policy</topic><topic>Health insurance</topic><topic>Health maintenance organizations</topic><topic>HMOs</topic><topic>Humans</topic><topic>Incentives</topic><topic>Insurance Selection Bias</topic><topic>Male</topic><topic>Managed Care Programs - organization & administration</topic><topic>Marketing of Health Services</topic><topic>Models, Econometric</topic><topic>Motivation</topic><topic>Reproducibility of Results</topic><topic>Statistical analysis</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van Barneveld, E M</creatorcontrib><creatorcontrib>Lamers, L M</creatorcontrib><creatorcontrib>van Vliet, R C</creatorcontrib><creatorcontrib>van de Ven, W P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Health care management science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van Barneveld, E M</au><au>Lamers, L M</au><au>van Vliet, R C</au><au>van de Ven, W P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ignoring small predictable profits and losses: a new approach for measuring incentives for cream skimming</atitle><jtitle>Health care management science</jtitle><addtitle>Health Care Manag Sci</addtitle><date>2000-02</date><risdate>2000</risdate><volume>3</volume><issue>2</issue><spage>131</spage><epage>140</epage><pages>131-140</pages><issn>1386-9620</issn><eissn>1572-9389</eissn><abstract>Under inadequate capitation formulae competing health insurers have an incentive for cream skimming, i.e., the selection of enrollees whom the insurer expects to be profitable. When evaluating different capitation formulae, previous studies used various indicators of incentives for cream skimming. These conventional indicators are based on all actual profits and losses or on all predictable profits and losses. For the latter type of indicators, this paper proposes, as a new approach, to ignore the small predictable profits and losses. We assume that this new approach provides a better indication of the size of the cream skimming problem than the conventional one, because an insurer has to take into account its costs of cream skimming and the (statistical) uncertainties about the net benefits of cream skimming. Both approaches are applied in theoretical and empirical analyses. The results show that, if our assumption is right, the problem of cream skimming is overestimated by the conventional ways of measuring incentives for cream skimming, especially in the case of relatively good capitation formulae.</abstract><cop>Netherlands</cop><pub>Springer</pub><pmid>10780281</pmid><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1386-9620 |
ispartof | Health care management science, 2000-02, Vol.3 (2), p.131-140 |
issn | 1386-9620 1572-9389 |
language | eng |
recordid | cdi_proquest_miscellaneous_71059852 |
source | EconLit s plnými texty; ABI/INFORM Global (ProQuest); Springer Nature; BSC - Ebsco (Business Source Ultimate) |
subjects | Adult Adverse selection Capitation Capitation Fee - organization & administration Economic Competition - organization & administration Female Forecasting Group insurance Health care expenditures Health care policy Health insurance Health maintenance organizations HMOs Humans Incentives Insurance Selection Bias Male Managed Care Programs - organization & administration Marketing of Health Services Models, Econometric Motivation Reproducibility of Results Statistical analysis Studies |
title | Ignoring small predictable profits and losses: a new approach for measuring incentives for cream skimming |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T12%3A27%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_repec&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ignoring%20small%20predictable%20profits%20and%20losses:%20a%20new%20approach%20for%20measuring%20incentives%20for%20cream%20skimming&rft.jtitle=Health%20care%20management%20science&rft.au=van%20Barneveld,%20E%20M&rft.date=2000-02&rft.volume=3&rft.issue=2&rft.spage=131&rft.epage=140&rft.pages=131-140&rft.issn=1386-9620&rft.eissn=1572-9389&rft_id=info:doi/&rft_dat=%3Cproquest_repec%3E417621441%3C/proquest_repec%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p246t-4f9450e972bb535acdc3246b2019936515df19f668353786aa933041e8d4a0033%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=227984408&rft_id=info:pmid/10780281&rfr_iscdi=true |